AI Native Podcast – Détails, épisodes et analyse

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AI Native Podcast

AI or Not

Business & Entrepreneuriat

Fréquence : 1 épisode/21j. Total Éps: 9

Welcome to the AI Native Podcast, where we explore how artificial intelligence is changing our world. Each episode features simple, straight-forward conversations with experts and everyday people about the latest trends and ideas in AI. Tune in to learn how technology is shaping our lives and get inspired for the future.

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🇬🇧 Grande Bretagne - marketing
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Liens partagés entre épisodes et podcasts

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https://www.aiornot.com/ai-detection?utm_source=chatgpt.com
4 partages
https://devrev.ai/blog/devrev-raises-series-a?utm_source=chatgpt.com
3 partages
https://devrev.ai/?utm_source=chatgpt.com
3 partages

https://www.linkedin.com/in/aquibur
4 partages
https://www.linkedin.com/in/agusvivasdl
4 partages
https://www.linkedin.com/in/tolyk/
2 partages

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Score global : 48%

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Defending Truth in the Age of AI: A Pulitzer-Winning Photojournalist’s Warning

Épisode 4

mercredi 21 mai 2025 • Durée 58:54

In this episode, I chat with David Carson, a Pulitzer Prize-winning photojournalist and Stanford fellow. We explore his career journey and discuss the impact of AI on photojournalism. David shares insights on how AI-generated images are eroding trust in authentic news photography and demonstrates through his research how easily AI can replicate copyrighted images. We also debate the ethical challenges of AI companies using copyrighted content without compensation and the need to balance innovation with creators' rights in the AI era.

You’ll learn:

David Carson’s Journey
From benchwarmer goalkeeper to award-winning photojournalist—how early newspaper gigs led him to the Providence Journal, the St. Louis Post-Dispatch, and a 2015 Pulitzer Prize for his Ferguson coverage.
The Rise of AI in Photojournalism
Why Carson sees AI image-generation as a threat: deepfakes, democratized disinformation, and an erosion of public trust.
Real vs. Synthetic
Exploring “truth-default theory,” the liar’s dividend, and why six-fingered hands and full glasses of wine expose AI’s telltale flaws.
Case Study: Ferguson Icon
How Carson’s colleague’s iconic tear-gas photo was nearly lifted wholesale by generative models in just six prompts—and what it reveals about copyright and training-data ethics.
Tools for Trust
An introduction to C2PA standards and potential verification workflows to reclaim authenticity online.
Balancing Act
Strategies for news outlets: media and AI literacy, responsible sourcing, rapid corrections, and sustainable licensing deals.
Looking Ahead
Will the Internet rebel against synthetic content? Predictions on AI hype cycles, the future of general intelligence, and why the real will matter more than ever.

Key Takeaways

Trust Is Fragile: Even perfect photos can be doubted once AI-slop floods social feeds.
Verification Matters: Simple labeling and provenance metadata (e.g., C2PA) can help audiences distinguish fact from fiction.
Creators Are Crucial: Photojournalists supply the real-world data that powers billion-dollar AI models—and deserve fair compensation.
Public Rebellion: As AI-generated noise grows, audiences will gravitate back to authentic, verified content.

Resources & Links

Guest Socials:
• LinkedIn: https://www.linkedin.com/in/david-carson-628a596a/
• Stanford JSK Fellowship: https://jskfellows.stanford.edu/theft-is-not-fair-use-474e11f0d063

Carson’s Article: “AI or Not” on the impacts of generative AI in photojournalism
C2PA Specification: Coalition for Content Provenance and Authenticity (https://c2pa.org/)

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AI as a Force for Good: Combating Fraud and Protecting Users

Épisode 3

lundi 5 mai 2025 • Durée 39:01

In this episode, I joined the Mediascape podcast as a guest to discuss my company, AI or Not, which detects AI-generated content across images, audio, and text. I shared my journey from USC’s Marshall School of Business to founding the company, and highlighted the ethical challenges of AI, including data privacy and fraud. We explored real-world use cases like AI-generated x-rays for insurance scams, and I recommended tools like Claude, Perplexity, and ChatGPT—emphasizing the importance of staying informed and cautious in the evolving AI landscape.

Timestamps:
(0:00) - Intro

(2:29) - Data Privacy and AI Concerns

(3:33) - Generative AI and User-Generated Content

(12:06) - AI in Art and Copyright Issues

(25:06) - Surprising Use Cases: Fake X-Rays and Art Scams

(28:28) - Future Concerns: Biometrics and Identity Theft

Host Links:
Aiornot.com
https://www.linkedin.com/in/tolyk/

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When AI Meets the Con: One Woman’s Battle to Protect True Art

Épisode 2

lundi 14 avril 2025 • Durée 55:13

Brought to you by - AIorNot.com

In this episode, I had the pleasure of speaking with Julie, a clinical psychologist with a diverse background, including military service and wealth management. She shared her unique approach to psychology, emphasizing the importance of understanding our intrinsic motivations rather than focusing on mental illness. Julie believes that many people suffer from anxiety and depression because they feel inadequate in a fast-paced, capitalistic society, and she aims to help them find their way back to their values and passions.

We also discussed the impact of art on mental health and how it can serve as a healing tool. Julie's travels have led her to support local artists, which not only brings her joy but also helps communities in need. However, she also highlighted the challenges posed by art fraud and the rise of AI-generated art, which can undermine the authenticity of true artistic expression and create distrust among consumers.

timestamps:
(0:00) - Intro

(0:21) - Julie's Background and Career Journey

(2:50) - Approach to Psychology and Coaching

(3:51) - March Madness and Sports Allegiances

(5:37) - Working with Athletes and Entrepreneurs

(9:23) - The Impact of Travel on Art Appreciation

(12:39) - The Role of AI in Art and Personal Experiences with Fraud

Host Links:
Aiornot.com
https://www.linkedin.com/in/tolyk/

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Trailer

Épisode 1

lundi 17 mars 2025 • Durée 00:17

Transforming Email Marketing: How AI Personalization Beats the Spam Filter

Épisode 5

mercredi 11 juin 2025 • Durée 23:31

Brought to you by: aiornot.com

In this conversation, we dive into how Aquibur took AMP-powered, interactive email technology and evolved it into a full-fledged AI-driven email marketing and automation platform (Mailmodo). We cover his founding story, the shift from static to interactive emails, his approach to product-market fit, how generative AI is reshaping marketing teams and functions, and practical advice for startups on choosing channels, building trust, and maximizing ROI from email.

Guest: Aquibur Rahman

Background: Started in growth roles (Facebook Ads → organic SEO, content, email) at startups and led marketing at ClearTax.
Mailmodo: Co-founded in 2020 to make emails interactive (using Google’s AMP technology), joined Y Combinator, raised seed from Sequoia.
Today: Leading an AI-native email marketing & automation platform, launching AI-powered template generation (June 2025) and full “prompt-to-campaign” automation (September 2025).
Connect:
- LinkedIn: https://www.linkedin.com/in/aquibur
- Email: aqeeb@mailmodo.com

Key Topics & Timestamps

00:00 – Introduction & AQ’s background
From Facebook Ads to leading marketing at ClearTax, and the inspiration behind Mailmodo.
00:54 – Why interactive email?
The problem with static email → users click out to websites → low conversions → frustration for marketers.
01:30 – Building Mailmodo
Launch in 2021, Y Combinator, Sequoia seed, global expansion, product roadmap evolution.
02:35 – AI in email marketing
How generative AI will automate template creation, audience building, campaign setup—“just prompt your goal.”
03:45 – Technology → solution mindset
Start with customer pain points, then apply new tech (AMP, then AI) to solve them.

“Email has been there since the beginning of the Internet, but nothing has changed even a bit. If we make emails interactive and actionable, conversion and engagement can go much higher.”“My approach is not to adopt a new technology and create a product, but to find a problem my customers face and then apply the technology to solve it.”“In the AI era, teams aren’t getting bigger—they’re getting faster. Fewer people doing more with the help of AI.”

The Human Edge in an AI World: Agents, Search, and Genuine Connections

Épisode 9

mardi 2 septembre 2025 • Durée 32:12

Today’s guest is Agustin Vivas de Lorenzi, Founding Member at DevRev—the AI-native platform unifying customer support, product, and revenue teams. We dig into the real-world shape of AI agents (SDR, AE, Support), why enterprise search + a unified data layer is the unlock, and how tiny teams are hitting $10M ARR by automating the boring stuff while keeping the human story front and center. Sponsored by AIorNot.com—detect AI-generated text, images, audio, video and deepfakes in one place. (DevRev, aiornot.com)

Key Takeaways

Agents work where data is unified. DevRev’s Airdrop ingests/syncs tools and builds a knowledge graph, enabling accurate enterprise search and agent actions across support, product, and revenue workflows. (DevRev)
Tiny, mighty teams: Startups are reaching ~$10M ARR with ~10–20 people by deploying AI agents for SDR, AE, and Customer Support—automating repetitive tasks and keeping humans for high-context work. (Discussed in episode.)
Enterprise vs. SMB: Small companies can hire one experienced “agent ops” owner and ship fast; enterprises stall on internal builds, compliance, and cross-team alignment before circling back to a vendor. (Discussed in episode.)
Human story wins. As “AI slop” floods feeds, audiences will seek content with a verifiable human arc—authenticity, provenance, and outcomes. Detection tools (like AIorNot) help restore trust signals. (aiornot.com)
DevRev momentum: Series A $100.8M; valuation ~$1.15B; mission: connect end users, support, sales, product, and devs on one AI-native platform. (, )

AI, Digital Box Offices & The Future of Filmmaking

Épisode 8

lundi 25 août 2025 • Durée 35:49

What happens when anyone with a great story can create a studio-quality film at a fraction of the cost? In this episode of the AI Native Podcast, we sit down with Cihan Fuat Atkin, founder & CEO of xSynx, the company behind Venue+, a streaming platform pioneering pay-per-viewer technology.

Cihan shares how AI, digital distribution, and pay-per-viewer streaming are transforming the film industry—from independent creators making Oscar-worthy content to major studios leveraging AI-generated actors. We dive into the future of content creation, why the theatrical window is ripe for disruption, and how filmmakers can monetize directly without Hollywood’s traditional gatekeepers.

If you’re curious about the AI-driven future of film, streaming, and live events, this episode is a must-listen.

🗝️ What You’ll Learn

AI & Filmmaking: How AI is slashing production costs and boosting creative output.
Digital Box Office 2.0: Why Venue+ is the future of per-person ticketing for movies and live events.
AI Actors & Digital Assets: The coming wave of AI-generated stars and licensing opportunities.
Advice for Filmmakers: How creators can use AI tools and platforms to reach global audiences.
Industry Disruption: Why traditional theaters risk being left behind without digital innovation.

🕒 Episode Chapters

00:00 – The coming AI content explosion (30X growth forecast)
06:30 – How Venue+ reinvents ticketed streaming for live & theatrical events
14:50 – AI-generated actors, deepfakes & the future of digital characters
22:10 – The economics: lowering costs, increasing output, reaching global audiences
27:30 – Advice for aspiring filmmakers & independent creators
How AI + streaming = a new era for movies & live events

Beyond Competitor Analysis: How AI is Transforming Dynamic Pricing

Épisode 7

lundi 18 août 2025 • Durée 41:08

In this episode of The AI Native Podcast, we sit down with Alex Halkin, founder of Competera and pioneer in AI-powered pricing. Alex takes us through his remarkable journey—from growing up in Ukraine and experimenting with early neural networks, to consulting for global retailers, to bootstrapping his own AI startup.

We discuss:

How Alex’s first ventures (selling internet to neighbors and running an internet café) taught him entrepreneurial grit.
Why consulting shaped his perspective on automation and pricing inefficiencies.
The challenges of pitching AI-driven pricing inside a traditional consulting model.
Bootstrapping Competera with his own money, surviving early burn rates, and closing enterprise deals with just 300 products.
How AI is reshaping pricing strategy, junior roles, and the speed at which founders must now operate.
The future of AI in education, automation, and vertical solutions.

Alex also shares candid insights about fundraising, navigating corporate politics, and why focus, speed, and honesty are the true superpowers for founders in the AI era.

Chapters:

00:00 – Big ideas start simple
03:00 – Early life in Ukraine & first businesses
08:00 – Consulting, automation, and discovering pricing inefficiencies
13:00 – Why big firms resisted subscriptions & Alex’s pivot
16:00 – Bootstrapping Competera and landing first enterprise clients
23:00 – Compute costs, margins, and survival under the radar
28:00 – AI adoption in retail and beyond
33:00 – The future of education in an AI-driven world
36:00 – Advice for new founders in the post-LLM era

Connect with Alex Halkin:
🔗 LinkedIn

Brought to you by:
👉 AIorNot.com – Detect if content was created by AI or a human.

Stop Sounding Like a Bot: The New Rules of AI Writing

Épisode 6

mercredi 30 juillet 2025 • Durée 39:15

AI writing shouldn’t sound like AI. In this episode of AI Native, we sit down with Aleksandr Lashkov, co‑founder of Linguix, to unpack seven years of building grammar tools from rule‑based systems to LLM‑powered assistants. We dig into why delivery beats model choice (hello, browser extensions), how “humanizer” features reduce AI tells, and where AI helps—or harms—learning. Aleksandr shares hard‑won product lessons, what changed after ChatGPT, and practical advice for builders weighing open‑source models vs. APIs and the real costs of data, evals, and hiring.

What you’ll learn

Why “AI‑sounding” emails are becoming a new professional faux pas.
Native vs. non‑native users: who actually benefits from grammar tools (and why).
The evolution from rules → LLMs → heuristics (and how to marry them).
“Delivery > model”: placing help where users write (Gmail, Docs, chat UIs).
Education vs. productivity: when AI should hint—not answer.
Product lessons: simplify, surface proactively, reduce clicks.
How to approach a custom model: open source options, data realities, and evals.

Chapters (YouTube)
00:00 – The problem with AI‑sounding writing
00:45 – Meet Aleksandr Lashkov & the early Linguix journey
02:30 – Who uses grammar tools (native vs. non‑native)
05:20 – From rules to LLMs: the 3‑layer stack
07:45 – Post‑ChatGPT: why grammar tools didn’t die
10:30 – Delivery beats model choice (extensions, in‑context help)
12:40 – Humanizer: removing AI tells & emerging etiquette
15:20 – AI in education: hints over answers, critical thinking
18:40 – Why “writing coach” flopped at work
21:30 – Simplifier vs. paraphraser: usage hockey stick
24:05 – Two educator camps & using analytics for support
26:50 – The future: AI everywhere, natural language as the new UI
29:30 – Build vs. buy: open source, data costs, and evals
33:10 – What Aleksandr would do differently today
36:20 – Open‑source parity & getting started 38:30 – Wrap

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AI Native Podcast – Détails, épisodes et analyse

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